AutoRefuel-Seg is a real-world instance segmentation dataset constructed for robotic automotive fuel tank component perception. It contains RGB images of two key fuel tank components: the fuel tank do
Traditional driver’s skill tests primarily assess whether candidates meet specific standards in prescribed tasks, which often fails to fully reflect their overall driving performance in real-world sce
This data set contains four types of road images: asphalt roads and gravel roads; Wading roads and snowy roads. It is mainly used to train road recognition models. Due to the large amount of data, thi
This Off-The-Shelf (OTS) dataset provides a comprehensive collection of real-world egocentric (first-person perspective) bike riding behavior video recordings, specifically curated to support advanced
